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Aleksandr Chuklin <[log in to unmask]>
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Aleksandr Chuklin <[log in to unmask]>
Mon, 9 Dec 2019 11:22:59 +0100
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*** Special topic: Conversational AI ***

August 24–28, 2020, Moscow, Russia

This year the school is co-organized by the Russian Information Retrieval
Evaluation Seminar (ROMIP,, and representatives of
Russian and international Universities and research labs. Traditionally the
school concentrates on information retrieval. RuSSIR 2020 will have an
additional focus on Conversational AI and conversational search, but course
proposals should not be limited to it.

The mission of the RuSSIR school series is to enable its students to learn
about modern problems and methods in information retrieval and related
disciplines; to stimulate scientific research and collaboration in the
field; and to create an environment for informal contacts between
scientists, students, and industry professionals. RuSSIR 2020 will offer up
to 6 courses and host approximately 100 participants. The target audience
of the school is advanced graduate students, young scientists, academic and
industrial researchers, and developers. The working language of the school
is English.

RuSSIR 2020 welcomes course proposals on any aspect of information
retrieval and related disciplines, either generally on latest methodologies
in the field or with a particular emphasis on conversational interfaces.
Each course should consist of four or five 90 minute-long sessions. Courses
may include lectures and/or practical hands-on exercises.

Summer school organizers will cover travel and accommodation expenses for
one lecturer per course; no additional honorarium will be paid to the
lecturer(s). The school organizers would highly appreciate if, whenever
possible, lecturers could find alternative funding to cover their travel
and accommodation expenses, and indicate this possibility in their


Course proposals submission deadline: February 29, 2020 (anywhere on Earth)
Notification: March 21, 2020
School: August 24--28, 2020 (Mon--Fri)


Course proposals must be submitted in PDF format to the submission website, by February 29, 2020
(anywhere on Earth).
A course proposal should contain the following:
- Title and keywords.
- Description of teaching and research experience, and contact information
of the lecturer(s).
- Relevance of the course to the school's scope and objectives.
- Brief description of the course (up to 300 words suitable for inclusion
in  school materials).
- Full description (1–2 pages, to be used for evaluation).
- Target audience and expected prerequisite knowledge of the audience.
- Relevant references to support proposal evaluation.
- Preferred schedule and necessary equipment.

All proposals will be evaluated by the program committee according to the
 school's goals, the clarity of presentation, and the lecturers'
qualification and experience.

Early informal inquiries about the school or the proposal  evaluation
process are encouraged (please send an email to [log in to unmask] or to one
of the PC Chairs).


The first RuSSIR summer school took place in 2007 and since then has
evolved into a popular academic event with solid international
participation. Previous schools took place in Kazan, Yekaterinburg,
Taganrog, Petrozavodsk, Voronezh, Yaroslavl, Kazan, Nizhny Novgorod, St.
Petersburg, and Saratov. Courses in previous editions of RuSSIR were taught
by many prominent researchers in information retrieval and related

The capital of Russia is a modern and vibrant city, which attracts tourists
from all over the world. It is a sparkling mix of old churches, the Soviet
architecture, and modern buildings. It is also a home for world-famous
attractions such as Red Square, Tretyakov Gallery, and Bolshoi Theatre.
Being a large transport hub, Moscow is easily reachable from anywhere in
the world. You can learn more from the official tourism portal:


- Johanne R. Trippas <[log in to unmask]> (RMIT University),
Program co-chair
- Aleksandr Chuklin <[log in to unmask]> (Google Research), Program co-chair
- Eugene Kharitonov <[log in to unmask]> (Facebook AI Research), Program
- Pavel Braslavski (HSE St. Petersburg & JetBrains Research), General chair


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